Follow
Zemin Liu
Title
Cited by
Cited by
Year
Topological recurrent neural network for diffusion prediction
J Wang, VW Zheng, Z Liu, KCC Chang
Proceedings of The IEEE International Conference on Data Mining (ICDM), 2017
1292017
Semantic proximity search on heterogeneous graph by proximity embedding
Z Liu, VW Zheng, Z Zhao, F Zhu, KCC Chang, M Wu, J Ying
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
812017
Relative and absolute location embedding for few-shot node classification on graph
Z Liu, Y Fang, C Liu, SCH Hoi
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4267-4275, 2021
422021
Distance-aware dag embedding for proximity search on heterogeneous graphs
Z Liu, V Zheng, Z Zhao, F Zhu, K Chang, M Wu, J Ying
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
412018
Interactive paths embedding for semantic proximity search on heterogeneous graphs
Z Liu, VW Zheng, Z Zhao, Z Li, H Yang, M Wu, J Ying
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
402018
Tail-GNN: Tail-node graph neural networks
Z Liu, TK Nguyen, Y Fang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
342021
mg2vec: Learning relationship-preserving heterogeneous graph representations via metagraph embedding
W Zhang, Y Fang, Z Liu, M Wu, X Zhang
IEEE Transactions on Knowledge and Data Engineering 34 (3), 1317-1329, 2020
292020
Subgraph-augmented path embedding for semantic user search on heterogeneous social network
Z Liu, VW Zheng, Z Zhao, H Yang, KCC Chang, M Wu, J Ying
Proceedings of the 2018 World Wide Web Conference, 1613-1622, 2018
282018
Towards locality-aware meta-learning of tail node embeddings on networks
Z Liu, W Zhang, Y Fang, X Zhang, SCH Hoi
Proceedings of the 29th ACM International Conference on Information …, 2020
262020
Meta-inductive node classification across graphs
Z Wen, Y Fang, Z Liu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
202021
Node-wise localization of graph neural networks
Z Liu, Y Fang, C Liu, SCH Hoi
International Joint Conferences on Artificial Intelligence, 2021
142021
Neighbor-anchoring adversarial graph neural networks
Z Liu, Y Fang, Y Liu, VW Zheng
IEEE Transactions on Knowledge and Data Engineering 35 (1), 784-795, 2021
72021
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
Z Liu, Q Mao, C Liu, Y Fang, J Sun
Proceedings of the ACM Web Conference 2022, 1506-1516, 2022
42022
Learning to count isomorphisms with graph neural networks
X Yu, Z Liu, Y Fang, X Zhang
arXiv preprint arXiv:2302.03266, 2023
32023
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank
M Chen, C Liu, Z Liu, J Sun
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
32022
S2N2: An interpretive semantic structure attention neural network for trajectory classification
C Jin, T Tao, X Luo, Z Liu, M Wu
IEEE Access 8, 58763-58773, 2020
32020
Hinormer: Representation learning on heterogeneous information networks with graph transformer
Q Mao, Z Liu, C Liu, J Sun
arXiv preprint arXiv:2302.11329, 2023
22023
FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data
C Jin, Z Liu, M Wu, J Ying
Mobile Information Systems 2015, 2015
22015
一种流数据立方体分析挖掘框架
金苍宏, 刘泽民, 吴明晖, 应晶
电信科学 30 (9), 61-71, 2014
22014
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Z Liu, X Yu, Y Fang, X Zhang
Proceedings of the ACM Web Conference 2023, 417-428, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20